Clustering for data mining : a data recovery approach / Boris Mirkin.
"Rather than the traditional set of ad hoc techniques, Clustering for Data Mining: A Data Recovery Approach presents a theory that not only closes gaps in K-Means and Ward methods, but also extends the methods into areas of current interest, such as clustering mixed scale data and incomplete cl...
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Main Author: | |
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Format: | Book |
Language: | English |
Published: |
Boca Raton, FL :
Chapman & Hall/CRC,
2005.
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Series: | Computer science and data analysis series ;
3. |
Subjects: |
Table of Contents:
- Introduction : historical remarks
- 1. What is clustering
- 2. What is data
- 3. K-means clustering
- 4. Ward hierarchical clustering
- 5. Data recovery models
- 6. Different clustering approaches
- 7. General issues
- Conclusion : data recovery approach in clustering.